1. Get started with Azure Databricks
Azure Databricks enables you to build highly scalable data processing and machine learning solutions.
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2. Work with data in Azure Databricks
To work with data in Azure Databricks, you can use the dataframe object.
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3. Prepare data for machine learning with Azure Databricks
Before using data to train a machine learning model, it's important to prepare the data appropriately.
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4. Train a machine learning model with Azure Databricks
Machine learning involves using data to train a predictive model. Azure Databricks support multiple commonly used machine learning frameworks that you can use to train models.
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5. Use MLflow to track experiments in Azure Databricks
When you run data science and machine learning experiments at scale, you can use MLflow to track experiment runs and metrics.
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6. Manage machine learning models in Azure Databricks
In Azure Databricks, you can deploy and manage machine learning models that you have trained.
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7. Track Azure Databricks experiments in Azure Machine Learning
Azure Machine Learning is a scalable cloud platform for training, deploying, and managing machine learning solutions.
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8. Deploy Azure Databricks models in Azure Machine Learning
You can use Azure Databricks to train machine learning models, and deploy the trained models in Azure Machine Learning endpoints.
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